AI RESEARCH
AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems
arXiv CS.AI
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ArXi:2605.08715v1 Announce Type: cross LLM-based multi-agent systems are increasingly deployed on long-horizon tasks, but a single decisive error is often accepted by downstream agents and cascades into trajectory-level failure. Existing work frames this as \emph{post-hoc failure attribution}, diagnosing the responsible agent and step after the trajectory has ended. However, this paradigm forfeits any opportunity to intervene while trajectory is still unfolding. In this work, we